Unconventional phased array architectures and design methodologies—A review
The proliferation of wireless services is driving innovative phased array solutions that are
able to provide better cost/performance tradeoffs. In this context, the use of irregular array …
able to provide better cost/performance tradeoffs. In this context, the use of irregular array …
Compressive sensing in electromagnetics-a review
Several problems arising in electromagnetics can be directly formulated or suitably recast for
an effective solution within the compressive sensing (CS) framework. This has motivated a …
an effective solution within the compressive sensing (CS) framework. This has motivated a …
Array designs for long-distance wireless power transmission: State-of-the-art and innovative solutions
The concept of long-range wireless power transmission (WPT) has been formulated shortly
after the invention of high power microwave amplifiers. The promise of WPT, energy transfer …
after the invention of high power microwave amplifiers. The promise of WPT, energy transfer …
Directions-of-arrival estimation through Bayesian compressive sensing strategies
The estimation of the directions of arrival (DoAs) of narrow-band signals impinging on a
linear antenna array is addressed within the Bayesian compressive sensing (BCS) …
linear antenna array is addressed within the Bayesian compressive sensing (BCS) …
Improved fruit-fly optimization algorithm and its applications in antenna arrays synthesis
A Darvish, A Ebrahimzadeh - IEEE Transactions on Antennas …, 2018 - ieeexplore.ieee.org
Synthesizing antenna arrays is one of the most influential optimization problems in the
electromagnetics community. In this paper, an improved fruit-fly optimization algorithm …
electromagnetics community. In this paper, an improved fruit-fly optimization algorithm …
Compressive sensing pattern matching techniques for synthesizing planar sparse arrays
In this paper, the design of sparse planar arrays is yielded through a set of innovative and
efficient pattern matching algorithms within the Bayesian Compressive Sensing (BCS) …
efficient pattern matching algorithms within the Bayesian Compressive Sensing (BCS) …
Synthesis of modular contiguously clustered linear arrays through a sparseness-regularized solver
An innovative methodology for the design of modular and contiguously-clustered linear
arrays is proposed. The approach formulates the subarraying problem as a pattern matching …
arrays is proposed. The approach formulates the subarraying problem as a pattern matching …
Knowledge-guided active-base-element modeling in machine-learning-assisted antenna-array design
Machine-learning (ML)-assisted antenna-array design methods suffer from a heavy
computational burden. In this article, a knowledge-guided active-base-element-modeling …
computational burden. In this article, a knowledge-guided active-base-element-modeling …
MT–BCS-based microwave imaging approach through minimum-norm current expansion
An innovative three-step technique based on the multi-task Bayesian compressive sensing
(MT-BCS) strategy is introduced to image 2D-sparse dielectric profiles. The proposed …
(MT-BCS) strategy is introduced to image 2D-sparse dielectric profiles. The proposed …
Wavelet-based compressive imaging of sparse targets
The application of the compressive sensing (CS) paradigm to retrieve non-single-pixels
contrast profiles is discussed. By exploiting a wavelet representation to model complex …
contrast profiles is discussed. By exploiting a wavelet representation to model complex …